DataDisco is a synthetic user-testing platform for research and development teams, designed to help product and design professionals evaluate digital experiences throughout development. Its AI persona agents simulate real users, allowing teams to run usability and acceptance tests without waiting for participant recruitment. Personas can be generated from a described user problem, demographic variants, supplied context, and source documents, helping ground simulations in available customer research.

The platform supports product discovery, usability feedback, automated acceptance testing, and audits of how agents interact with digital experiences. Teams can point DataDisco to a website, staging build, or prototype; the system scans versions, tracks changes, and suggests feedback goals. Its agent harness simulates user flows and reports findings, including screenshots. DataDisco also compares sessions against each persona’s tensions, motivations, and success criteria, with insights across versions and test runs. An MCP server connects its tools and resources to Claude, ChatGPT, Cursor, and other compatible clients. DataDisco is built to help teams identify friction, validate changes, and bring evidence into product decisions.